Adding speech recognition to any telephone system can be a good idea, but it's particularly beneficial to users of Asterisk, the Open SourcePBX. This video, the first of two parts, discusses the cost and benefits of using speech recognition to help reduce demand placed on live operators. It covers the general rate of return on investing in speech and how this can work to the advantage of Asterisk users. To see a higher resolution version of this video and other related videos, go to http://www.lumenvox.com/support/videos/newtospeech/vid04_summary.aspx.

Welcome to part III of our Introduction to SIP tutorials.
In today's episode we start by taking a look at Audio Codecs, what they are and when to use them before having a quick introduction to debugging and SIP traces.
Regarding the Opus codec, the legal issues relate to Intellectual Property Rights infringements which is why Asterisk do not offer built in Opus support. If you wish to use it via the patch mentioned, clarify your legal position before hand.
For more information on our turnkey business phones systems and UC solutions, visit our website:
https://www.pascom.net/en/

published:22 Dec 2015

views:4980

Within the last year we've seen a proliferation of services spring up (IBM Watson, GoogleSpeech API, Amazon Lex) that help make machine learning accessible to a far wider audience. At the same time, open-source frameworks have also been evolving to fill these roles at a lightening pace -- and with fantastic results. This talk will dive into this ecosystem of ASR, TTS, and NLU frameworks, including DeepSpeech and WaveNet, and highlight their practicality in the real world. Knowledge of machine learning isn't required to understand the concepts and practical applications. Demonstrations of these frameworks in action can help illuminate the possibilities and challenges of utilizing the DIY approach. Many companies would benefit from having a tailored solution to even just one of the above -- perhaps you want your own custom TTS voice, or need sentiment analysis on stored voicemails or customer service calls. Pick and choose and make your machine learning dreams come true.

published:02 Mar 2018

views:4

In this tutorial I show you how to download, build, and install CMU sphinxbase, pocketsphinx, sphinxtrain, and cmuclmtk. This is the first tutorial of the series, where all the dependencies are met in order to follow along with the other tutorials.
sudo apt-get install gcc automake autoconf libtool bison swig python-dev libpulse-dev
mkdir speech_recognition
cd speech_regognition
git clone https://github.com/cmusphinx/sphinxbase.git
cd sphinxbase
./autogen.sh
./configure
make clean all
make check
sudo make install
export LD_LIBRARY_PATH=/usr/local/lib
sudo nano /etc/ld.so.conf
include /etc/ld.so.conf.d/*.conf
/usr/local/lib
sudo ldconfig
================================================
git clone https://github.com/cmusphinx/pocketsphinx.git
cd pocketsphinx
./autogen.sh
./configure
make clean all
make check
sudo make install
===============================================
git clone https://github.com/cmusphinx/sphinxtrain.git
cd sphinxtrain
./autogen.sh
./configure
make clean all
make check
sudo make install
++++++++++++++++++++++++++++++++++++++++++++++++++++
svn checkout svn://svn.code.sf.net/p/cmusphinx/code/trunk cmusphinx-code
cd cmusphinx-code
cd cmusphinx-code
./autogen.sh
./configure
make clean all
make check
sudo make install
test it ;
/home/cesco/sphinx_source/cmusphinx-code/cmuclmtk/src/programs

Speech

Speech is the vocalized form of humancommunication. It is based upon the syntactic combination of lexicals and names that are drawn from very large (usually about 1,000 different words) vocabularies. Each spoken word is created out of the phonetic combination of a limited set of vowel and consonant speech sound units. These vocabularies, the syntax which structures them, and their set of speech sound units differ, creating the existence of many thousands of different types of mutually unintelligible human languages. Most human speakers are able to communicate in two or more of them, hence being polyglots. The vocal abilities that enable humans to produce speech also provide humans with the ability to sing.

A gestural form of human communication exists for the deaf in the form of sign language. Speech in some cultures has become the basis of a written language, often one that differs in its vocabulary, syntax and phonetics from its associated spoken one, a situation called diglossia. Speech in addition to its use in communication, it is suggested by some psychologists such as Vygotsky is internally used by mental processes to enhance and organize cognition in the form of an interior monologue.

Asterisk

An asterisk (*; from Late Latinasteriscus, from Ancient Greekἀστερίσκος, asteriskos, "little star") is a typographical symbol or glyph. It is so called because it resembles a conventional image of a star. Computer scientists and mathematicians often vocalize it as star (as, for example, in the A* search algorithm or C*-algebra). In English, an asterisk is usually five-pointed in sans-seriftypefaces, six-pointed in serif typefaces, and six- or eight-pointed when handwritten. It can be used as censorship. It is also used on the internet to correct one's spelling, in which case it appears after or before the corrected word.

The asterisk is derived from the need of the printers of family trees in feudal times for a symbol to indicate date of birth. The original shape was seven-armed, each arm like a teardrop shooting from the center.

Speech recognition

Speech recognition (SR) is the inter-disciplinary sub-field of computational linguistics which incorporates knowledge and research in the linguistics, computer science, and electrical engineering fields to develop methodologies and technologies that enables the recognition and translation of spoken language into text by computers and computerized devices such as those categorized as Smart Technologies and robotics. It is also known as "automatic speech recognition" (ASR), "computer speech recognition", or just "speech to text" (STT).

Some SR systems use "training" (also called "enrollment") where an individual speaker reads text or isolated vocabulary into the system. The system analyzes the person's specific voice and uses it to fine-tune the recognition of that person's speech, resulting in increased accuracy. Systems that do not use training are called "speaker independent" systems. Systems that use training are called "speaker dependent".

The Benefits of Adding Speech Recognition to Asterisk, 1

Adding speech recognition to any telephone system can be a good idea, but it's particularly beneficial to users of Asterisk, the Open SourcePBX. This video, the first of two parts, discusses the cost and benefits of using speech recognition to help reduce demand placed on live operators. It covers the general rate of return on investing in speech and how this can work to the advantage of Asterisk users. To see a higher resolution version of this video and other related videos, go to http://www.lumenvox.com/support/videos/newtospeech/vid04_summary.aspx.

Implementación de un AGI en Asterisk

Asterisk Tutorial 36 - SIP & Audio Codecs [english]

Welcome to part III of our Introduction to SIP tutorials.
In today's episode we start by taking a look at Audio Codecs, what they are and when to use them before having a quick introduction to debugging and SIP traces.
Regarding the Opus codec, the legal issues relate to Intellectual Property Rights infringements which is why Asterisk do not offer built in Opus support. If you wish to use it via the patch mentioned, clarify your legal position before hand.
For more information on our turnkey business phones systems and UC solutions, visit our website:
https://www.pascom.net/en/

33:17

Machine Learning For Asterisk

Machine Learning For Asterisk

Machine Learning For Asterisk

Within the last year we've seen a proliferation of services spring up (IBM Watson, GoogleSpeech API, Amazon Lex) that help make machine learning accessible to a far wider audience. At the same time, open-source frameworks have also been evolving to fill these roles at a lightening pace -- and with fantastic results. This talk will dive into this ecosystem of ASR, TTS, and NLU frameworks, including DeepSpeech and WaveNet, and highlight their practicality in the real world. Knowledge of machine learning isn't required to understand the concepts and practical applications. Demonstrations of these frameworks in action can help illuminate the possibilities and challenges of utilizing the DIY approach. Many companies would benefit from having a tailored solution to even just one of the above -- perhaps you want your own custom TTS voice, or need sentiment analysis on stored voicemails or customer service calls. Pick and choose and make your machine learning dreams come true.

In this tutorial I show you how to download, build, and install CMU sphinxbase, pocketsphinx, sphinxtrain, and cmuclmtk. This is the first tutorial of the series, where all the dependencies are met in order to follow along with the other tutorials.
sudo apt-get install gcc automake autoconf libtool bison swig python-dev libpulse-dev
mkdir speech_recognition
cd speech_regognition
git clone https://github.com/cmusphinx/sphinxbase.git
cd sphinxbase
./autogen.sh
./configure
make clean all
make check
sudo make install
export LD_LIBRARY_PATH=/usr/local/lib
sudo nano /etc/ld.so.conf
include /etc/ld.so.conf.d/*.conf
/usr/local/lib
sudo ldconfig
================================================
git clone https://github.com/cmusphinx/pocketsphinx.git
cd pocketsphinx
./autogen.sh
./configure
make clean all
make check
sudo make install
===============================================
git clone https://github.com/cmusphinx/sphinxtrain.git
cd sphinxtrain
./autogen.sh
./configure
make clean all
make check
sudo make install
++++++++++++++++++++++++++++++++++++++++++++++++++++
svn checkout svn://svn.code.sf.net/p/cmusphinx/code/trunk cmusphinx-code
cd cmusphinx-code
cd cmusphinx-code
./autogen.sh
./configure
make clean all
make check
sudo make install
test it ;
/home/cesco/sphinx_source/cmusphinx-code/cmuclmtk/src/programs

The Benefits of Adding Speech Recognition to Asterisk, 1

Adding speech recognition to any telephone system can be a good idea, but it's particularly beneficial to users of Asterisk, the Open SourcePBX. This video, the first of two parts, discusses the cost and benefits of using speech recognition to help reduce demand placed on live operators. It covers the general rate of return on investing in speech and how this can work to the advantage of Asterisk users. To see a higher resolution version of this video and other related videos, go to http://www.lumenvox.com/support/videos/newtospeech/vid04_summary.aspx.

Implementación de un AGI en Asterisk

Asterisk Tutorial 36 - SIP & Audio Codecs [english]

Welcome to part III of our Introduction to SIP tutorials.
In today's episode we start by taking a look at Audio Codecs, what they are and when to use them before having a quick introduction to debugging and SIP traces.
Regarding the Opus codec, the legal issues relate to Intellectual Property Rights infringements which is why Asterisk do not offer built in Opus support. If you wish to use it via the patch mentioned, clarify your legal position before hand.
For more information on our turnkey business phones systems and UC solutions, visit our website:
https://www.pascom.net/en/

published: 22 Dec 2015

Machine Learning For Asterisk

Within the last year we've seen a proliferation of services spring up (IBM Watson, GoogleSpeech API, Amazon Lex) that help make machine learning accessible to a far wider audience. At the same time, open-source frameworks have also been evolving to fill these roles at a lightening pace -- and with fantastic results. This talk will dive into this ecosystem of ASR, TTS, and NLU frameworks, including DeepSpeech and WaveNet, and highlight their practicality in the real world. Knowledge of machine learning isn't required to understand the concepts and practical applications. Demonstrations of these frameworks in action can help illuminate the possibilities and challenges of utilizing the DIY approach. Many companies would benefit from having a tailored solution to even just one of the above --...

In this tutorial I show you how to download, build, and install CMU sphinxbase, pocketsphinx, sphinxtrain, and cmuclmtk. This is the first tutorial of the series, where all the dependencies are met in order to follow along with the other tutorials.
sudo apt-get install gcc automake autoconf libtool bison swig python-dev libpulse-dev
mkdir speech_recognition
cd speech_regognition
git clone https://github.com/cmusphinx/sphinxbase.git
cd sphinxbase
./autogen.sh
./configure
make clean all
make check
sudo make install
export LD_LIBRARY_PATH=/usr/local/lib
sudo nano /etc/ld.so.conf
include /etc/ld.so.conf.d/*.conf
/usr/local/lib
sudo ldconfig
================================================
git clone https://github.com/cmusphinx/pocketsphinx.git
cd pocketsphinx
./autogen.sh
./configure
make...

The Benefits of Adding Speech Recognition to Asterisk, 1

Adding speech recognition to any telephone system can be a good idea, but it's particularly beneficial to users of Asterisk, the Open SourcePBX. This video, th...

Adding speech recognition to any telephone system can be a good idea, but it's particularly beneficial to users of Asterisk, the Open SourcePBX. This video, the first of two parts, discusses the cost and benefits of using speech recognition to help reduce demand placed on live operators. It covers the general rate of return on investing in speech and how this can work to the advantage of Asterisk users. To see a higher resolution version of this video and other related videos, go to http://www.lumenvox.com/support/videos/newtospeech/vid04_summary.aspx.

Adding speech recognition to any telephone system can be a good idea, but it's particularly beneficial to users of Asterisk, the Open SourcePBX. This video, the first of two parts, discusses the cost and benefits of using speech recognition to help reduce demand placed on live operators. It covers the general rate of return on investing in speech and how this can work to the advantage of Asterisk users. To see a higher resolution version of this video and other related videos, go to http://www.lumenvox.com/support/videos/newtospeech/vid04_summary.aspx.

Welcome to part III of our Introduction to SIP tutorials.
In today's episode we start by taking a look at Audio Codecs, what they are and when to use them before having a quick introduction to debugging and SIP traces.
Regarding the Opus codec, the legal issues relate to Intellectual Property Rights infringements which is why Asterisk do not offer built in Opus support. If you wish to use it via the patch mentioned, clarify your legal position before hand.
For more information on our turnkey business phones systems and UC solutions, visit our website:
https://www.pascom.net/en/

Welcome to part III of our Introduction to SIP tutorials.
In today's episode we start by taking a look at Audio Codecs, what they are and when to use them before having a quick introduction to debugging and SIP traces.
Regarding the Opus codec, the legal issues relate to Intellectual Property Rights infringements which is why Asterisk do not offer built in Opus support. If you wish to use it via the patch mentioned, clarify your legal position before hand.
For more information on our turnkey business phones systems and UC solutions, visit our website:
https://www.pascom.net/en/

Within the last year we've seen a proliferation of services spring up (IBM Watson, GoogleSpeech API, Amazon Lex) that help make machine learning accessible to a far wider audience. At the same time, open-source frameworks have also been evolving to fill these roles at a lightening pace -- and with fantastic results. This talk will dive into this ecosystem of ASR, TTS, and NLU frameworks, including DeepSpeech and WaveNet, and highlight their practicality in the real world. Knowledge of machine learning isn't required to understand the concepts and practical applications. Demonstrations of these frameworks in action can help illuminate the possibilities and challenges of utilizing the DIY approach. Many companies would benefit from having a tailored solution to even just one of the above -- perhaps you want your own custom TTS voice, or need sentiment analysis on stored voicemails or customer service calls. Pick and choose and make your machine learning dreams come true.

Within the last year we've seen a proliferation of services spring up (IBM Watson, GoogleSpeech API, Amazon Lex) that help make machine learning accessible to a far wider audience. At the same time, open-source frameworks have also been evolving to fill these roles at a lightening pace -- and with fantastic results. This talk will dive into this ecosystem of ASR, TTS, and NLU frameworks, including DeepSpeech and WaveNet, and highlight their practicality in the real world. Knowledge of machine learning isn't required to understand the concepts and practical applications. Demonstrations of these frameworks in action can help illuminate the possibilities and challenges of utilizing the DIY approach. Many companies would benefit from having a tailored solution to even just one of the above -- perhaps you want your own custom TTS voice, or need sentiment analysis on stored voicemails or customer service calls. Pick and choose and make your machine learning dreams come true.

In this tutorial I show you how to download, build, and install CMU sphinxbase, pocketsphinx, sphinxtrain, and cmuclmtk. This is the first tutorial of the seri...

In this tutorial I show you how to download, build, and install CMU sphinxbase, pocketsphinx, sphinxtrain, and cmuclmtk. This is the first tutorial of the series, where all the dependencies are met in order to follow along with the other tutorials.
sudo apt-get install gcc automake autoconf libtool bison swig python-dev libpulse-dev
mkdir speech_recognition
cd speech_regognition
git clone https://github.com/cmusphinx/sphinxbase.git
cd sphinxbase
./autogen.sh
./configure
make clean all
make check
sudo make install
export LD_LIBRARY_PATH=/usr/local/lib
sudo nano /etc/ld.so.conf
include /etc/ld.so.conf.d/*.conf
/usr/local/lib
sudo ldconfig
================================================
git clone https://github.com/cmusphinx/pocketsphinx.git
cd pocketsphinx
./autogen.sh
./configure
make clean all
make check
sudo make install
===============================================
git clone https://github.com/cmusphinx/sphinxtrain.git
cd sphinxtrain
./autogen.sh
./configure
make clean all
make check
sudo make install
++++++++++++++++++++++++++++++++++++++++++++++++++++
svn checkout svn://svn.code.sf.net/p/cmusphinx/code/trunk cmusphinx-code
cd cmusphinx-code
cd cmusphinx-code
./autogen.sh
./configure
make clean all
make check
sudo make install
test it ;
/home/cesco/sphinx_source/cmusphinx-code/cmuclmtk/src/programs

In this tutorial I show you how to download, build, and install CMU sphinxbase, pocketsphinx, sphinxtrain, and cmuclmtk. This is the first tutorial of the series, where all the dependencies are met in order to follow along with the other tutorials.
sudo apt-get install gcc automake autoconf libtool bison swig python-dev libpulse-dev
mkdir speech_recognition
cd speech_regognition
git clone https://github.com/cmusphinx/sphinxbase.git
cd sphinxbase
./autogen.sh
./configure
make clean all
make check
sudo make install
export LD_LIBRARY_PATH=/usr/local/lib
sudo nano /etc/ld.so.conf
include /etc/ld.so.conf.d/*.conf
/usr/local/lib
sudo ldconfig
================================================
git clone https://github.com/cmusphinx/pocketsphinx.git
cd pocketsphinx
./autogen.sh
./configure
make clean all
make check
sudo make install
===============================================
git clone https://github.com/cmusphinx/sphinxtrain.git
cd sphinxtrain
./autogen.sh
./configure
make clean all
make check
sudo make install
++++++++++++++++++++++++++++++++++++++++++++++++++++
svn checkout svn://svn.code.sf.net/p/cmusphinx/code/trunk cmusphinx-code
cd cmusphinx-code
cd cmusphinx-code
./autogen.sh
./configure
make clean all
make check
sudo make install
test it ;
/home/cesco/sphinx_source/cmusphinx-code/cmuclmtk/src/programs

The Benefits of Adding Speech Recognition to Asterisk, 1

Adding speech recognition to any telephone system can be a good idea, but it's particularly beneficial to users of Asterisk, the Open SourcePBX. This video, the first of two parts, discusses the cost and benefits of using speech recognition to help reduce demand placed on live operators. It covers the general rate of return on investing in speech and how this can work to the advantage of Asterisk users. To see a higher resolution version of this video and other related videos, go to http://www.lumenvox.com/support/videos/newtospeech/vid04_summary.aspx.

Asterisk Tutorial 36 - SIP & Audio Codecs [english]

Welcome to part III of our Introduction to SIP tutorials.
In today's episode we start by taking a look at Audio Codecs, what they are and when to use them before having a quick introduction to debugging and SIP traces.
Regarding the Opus codec, the legal issues relate to Intellectual Property Rights infringements which is why Asterisk do not offer built in Opus support. If you wish to use it via the patch mentioned, clarify your legal position before hand.
For more information on our turnkey business phones systems and UC solutions, visit our website:
https://www.pascom.net/en/

33:17

Machine Learning For Asterisk

Within the last year we've seen a proliferation of services spring up (IBM Watson, Google ...

Machine Learning For Asterisk

Within the last year we've seen a proliferation of services spring up (IBM Watson, GoogleSpeech API, Amazon Lex) that help make machine learning accessible to a far wider audience. At the same time, open-source frameworks have also been evolving to fill these roles at a lightening pace -- and with fantastic results. This talk will dive into this ecosystem of ASR, TTS, and NLU frameworks, including DeepSpeech and WaveNet, and highlight their practicality in the real world. Knowledge of machine learning isn't required to understand the concepts and practical applications. Demonstrations of these frameworks in action can help illuminate the possibilities and challenges of utilizing the DIY approach. Many companies would benefit from having a tailored solution to even just one of the above -- perhaps you want your own custom TTS voice, or need sentiment analysis on stored voicemails or customer service calls. Pick and choose and make your machine learning dreams come true.

In this tutorial I show you how to download, build, and install CMU sphinxbase, pocketsphinx, sphinxtrain, and cmuclmtk. This is the first tutorial of the series, where all the dependencies are met in order to follow along with the other tutorials.
sudo apt-get install gcc automake autoconf libtool bison swig python-dev libpulse-dev
mkdir speech_recognition
cd speech_regognition
git clone https://github.com/cmusphinx/sphinxbase.git
cd sphinxbase
./autogen.sh
./configure
make clean all
make check
sudo make install
export LD_LIBRARY_PATH=/usr/local/lib
sudo nano /etc/ld.so.conf
include /etc/ld.so.conf.d/*.conf
/usr/local/lib
sudo ldconfig
================================================
git clone https://github.com/cmusphinx/pocketsphinx.git
cd pocketsphinx
./autogen.sh
./configure
make clean all
make check
sudo make install
===============================================
git clone https://github.com/cmusphinx/sphinxtrain.git
cd sphinxtrain
./autogen.sh
./configure
make clean all
make check
sudo make install
++++++++++++++++++++++++++++++++++++++++++++++++++++
svn checkout svn://svn.code.sf.net/p/cmusphinx/code/trunk cmusphinx-code
cd cmusphinx-code
cd cmusphinx-code
./autogen.sh
./configure
make clean all
make check
sudo make install
test it ;
/home/cesco/sphinx_source/cmusphinx-code/cmuclmtk/src/programs

Asterisk , ChanSpy() , lehallgatás...

change festival voice to female voice :D...

It turns out that a theory explaining how we might detect parallel universes and prediction for the end of the world was proposed and completed by physicist Stephen Hawking shortly before he died ... &nbsp;. According to reports, the work predicts that the universe would eventually end when stars run out of energy ... ....

In another blow to the Trump administration Monday, the US Supreme Court decided Arizona must continue to issue state driver’s licenses to so-called Dreamer immigrants and refused to hear an effort by the state to challenge the Obama-era program that protects hundreds of thousands of young adults brought into the country illegally as children, Reuters reported ... – WN.com. Jack Durschlag....

Britain’s Royal Astronomical Society announced Monday that an object called 1I/2017 (‘Oumuamua) – the first confirmed asteroid known to have journeyed here from outside our solar system – most likely came from from a binary star system, or two stars orbiting a common center of gravity, EarthSky reported ... They looked at how common these star systems are in the galaxy ... ....

Uber announced on Monday that it was pulling all of its self-driving cars from public roads in Arizona and San Francisco, Toronto, and Pittsburgh after a female pedestrian was reportedly killed after being struck by an autonomous Uber vehicle in Tempe, according to The Verge.&nbsp; ... “We are fully cooperating with local authorities in their investigation of this incident.” ... "Some incredibly sad news out of Arizona....

ActorSean Penn's first novel, Bob Honey Who Just Do Stuff, will be published in April. The eccentric, off-beat novel is an amplified version of a 2016 audiobook which Sean Penn&nbsp;wrote -[ and narrated - under the pen name of "sociopath" PappyPariah... In one scene, in the novel, Bob Honey writes a letter to the president, named Mr Landlord ... Your position is an asterisk accepted as literally as your alternative facts ... ....

CAPE TOWN - Vodacom was ruled against by the Advertising Standards Authority of South Africa (ASASA) due to “misleading and dishonest” advertising ... The matter was brought forward by Glen Mills ... There are no asterisks linking the table with any of the offers, drawing the customer’s attention to the fact that this data breakdown applies to all packages,” said the authority ... READ ALSO. Vodacom has increased their data prices. READ ALSO ... ....

The University at Buffalo women's basketball team deserves a larger TV audience for its NCAA Tournament game against Florida State at 6.30 Monday on ESPN 2 than it received for its first-round victory over South Florida early Saturday afternoon. UB's 102-79 upset of South Florida had between a 2.1 and 2.3 preliminary local rating on ESPN 2 ... The disparity between the ratings for UB men and women come with a couple of asterisks ... Email ... ....

ActorSean Penn’s debut novel, Bob Honey Who Just Do Stuff – an expanded version of a 2016 audiobook he wrote under the pen name of “sociopath” PappyPariah and narrated – will be published in April, featuring references to Donald Trump and the #MeToo movement ... In one new scene, Honey writes a letter to the US president, named Mr Landlord ... Your position is an asterisk accepted as literally as your alternative facts ... ....

The offseason is over, spring training is in full swing, and despite a few notable names still available on the market, most if not all teams have called it quits in terms of signings and trades. So it’s time to look back on just what every squad did this winter and hand out grades for the moves made—or, in some cases, for those they failed to make. Next up ...Players with an asterisk next to their name were re-signed as free agents ... B+ ... D....

Andrew M. Cuomo pitched his own plan for greater spending transparency ... “But now, when the media starts publishing figures, there’s not going to be an asterisk that says this building has more special-education students than the other buildings,” said Vecchio, who serves on the executive committee of the Nassau-Suffolk School BoardsAssociation. “And if there is an asterisk, nobody’s going to read it.” ... ....

U of M Dean's List. The following students have been named to the fall semester Dean's List at the University of Minnesota, Minneapolis, for completing 12 or more letter-graded credits while attaining a 3.66 or higher grade-point average.. From Beulah, Leah Voigt ... From Harvey, Mia Krohn ... Students that achieved a 4.0 grade-point average are recognized with an asterisk ... Minot ... Students that achieved a 4.0 GPA are recognized with an asterisk....

Since joining the Rock Island CountyBoard in 2015, I’ve counted on SheriffGerry Bustos as a steadfast ally in reform efforts that have improved the fiscal and governance performance of the county ... Our success absolutely depends on electing officials whose integrity has no asterisks ... Kai Swanson,. member, ... ....